{"id":"W4408862843","doi":"10.1109/cictn64563.2025.10932390","title":"Skin Lesion Prediction and Classification using Deep Learning methods","year":2025,"lang":"en","type":"article","venue":"","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Deep learning; Pattern recognition (psychology); Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004536638,0.0005901648,0.000466677,0.0008465613,0.0001831213,0.0006743962,0.0007028074,0.0007628531,0.001869393],"category_scores_gemma":[0.0009508138,0.0002750097,0.0006188278,0.0004336848,0.0001925594,0.0005225168,0.0004900378,0.0009027567,0.0006337959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004835994,"about_ca_system_score_gemma":0.000430451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005139316,"about_ca_topic_score_gemma":0.004653933,"domain_scores_codex":[0.99977,0.00004142577,0.00001551459,0.00005896162,0.00006542496,0.00004868243],"domain_scores_gemma":[0.9997578,0.0000861232,0.00002986674,0.00001966601,0.00008603076,0.00002042751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002150123,0.0002553619,0.007347564,0.0001560747,0.0000845097,0.0003182533,0.00005377827,0.565641,0.01078742,0.002102182,0.005615654,0.4074232],"study_design_scores_gemma":[0.000001796138,0.00001761926,0.0003976275,0.00000798214,0.00000407429,0.00002939358,0.000006303815,0.9975809,0.001099143,0.0005480502,0.0003043051,0.000002779638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2114734,0.004289181,0.7743986,0.001132137,0.0002733518,0.000144608,0.0005515632,0.002156747,0.005580369],"genre_scores_gemma":[0.911111,0.001053272,0.07947313,0.000235454,0.00009766089,0.00007129341,0.0007048692,0.00005993588,0.007193338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005139316,"threshold_uncertainty_score":0.0102188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04718484773252314,"score_gpt":0.3669228805025664,"score_spread":0.3197380327700433,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}